A lot of clever engineering, parsing, processing, and weighting of content, activity streams, and social signals fed True/Slant Suggests. We applied this same approach to B2C and B2B products and tools for writers, editors, marketers, sales folks.
Choose writers, topics, and news sources to follow:
Each selection focuses suggested Contributors:
Suggestions were informed by whatever we knew about the person choosing their news. This included explicit picks they’ve made of writers, topics, and news sources to follow, previous True/Slant stories they’ve read, commented on, or shared, and all we’ve gleaned about writers, topics, news sources, and interrelationships from those stories.